Custom enterprise datasets

We design, build, and deliver clean, structured datasets tailored to your exact specifications, from competitive intelligence to AI-powered forecasting.

Andrew Malolepszy, CEO and co-founder of DoubleData
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Dataset schema

Refreshed
FieldType
venue_id· primarystring
venue_namestring
categoryenum
price· per itemdecimal
lat / longeo
collected_at· utctimestamp
  • CSV
  • JSON
  • Parquet
  • S3
  • API

We scrape data from over 5,000 sources

DoubleData is not affiliated with or endorsed by the companies shown.

  • Uber Eats
  • Getir
  • Eventim
  • Booking.com
  • Audible
  • Skyscanner
Challenges

Off-the-shelf data costs more than you think

Enterprise problems are specific, and they call for data built around them. Relying on standard feeds or tasking internal teams with ad-hoc data gathering creates a massive drag on your organization.

Your BI dashboards show an incomplete picture

Standard data feeds lack the specific attributes, granularity, and context you need, leading to flawed analysis and misguided strategies.

Your most expensive talent is stuck in the data mines

Your data scientists are spending up to 80% of their time finding, cleaning, and structuring data instead of building the models that drive revenue.

Your internal data projects are slow and brittle

The web scrapers and internal data pipelines your team builds are a constant maintenance burden, breaking with every website change and pulling focus from core business priorities.

You're missing critical market opportunities

By the time you get the data you need to assess a new market, a competitive threat, or a pricing opportunity, the window of advantage has already closed.

Industries

See what your peers are building

Our clients commission intelligence. Here are a few examples of custom datasets we've engineered to solve specific enterprise challenges.

Financial services

Financial services

A quantitative hedge fund asked for a dataset combining satellite imagery of retail parking lots with anonymized credit card transaction data to create a predictive model for the quarterly earnings of publicly traded retail companies.

Retail & CPG

Retail & CPG

A global consumer goods firm requested a dataset tracking competitor pricing, promotions, stock levels, and share-of-voice across the top 5 online retailers for their key product categories in North America and Europe.

Manufacturing

Manufacturing

To prevent supply chain disruptions, an automotive manufacturer commissioned a dataset that monitors their top 300 global suppliers for signals of financial distress, geopolitical risk in their operating regions, and raw material price fluctuations.

Airlines

Airlines

A major airline requested a data stream of all competitor fare and ancillary fee changes on their 50 most profitable international routes, delivered via a low-latency API directly into their proprietary revenue management engine.

E-commerce & marketplaces

E-commerce & marketplaces

To protect its users from fraud, a leading online marketplace asked for a dataset to vet new international sellers by cross-referencing business registration data, online reviews from other platforms, and social media sentiment analysis.

Pharmaceuticals

Pharmaceuticals

To accelerate clinical trial recruitment, a pharma giant commissioned an anonymized dataset identifying patient populations that meet complex inclusion criteria for a Phase III oncology trial, using real-world data from specialist healthcare networks.

Logistics & supply chain

Logistics & supply chain

A national logistics provider requested a dataset combining fuel prices with hyper-local traffic patterns and weather forecasts to dynamically optimize routing and reduce fuel consumption for their entire fleet of over 5,000 vehicles.

Commercial real estate

Commercial real estate

A commercial REIT (Real Estate Investment Trust) asked for a dataset layering zoning changes, new business permits, and shifts in foot traffic data to identify undervalued commercial districts in emerging metropolitan areas before prices escalate.

Energy & utilities

Energy & utilities

To improve demand forecasting, a major utility provider commissioned a dataset that models power consumption by correlating long-range weather forecasts, data from IoT smart meters, and schedules for major local events.

Audiobooks

Audiobooks

A global audiobook service commissioned a dataset that analyzes trending charts and listener growth across major podcast platforms to identify breakout creators and emerging narrative trends, enabling them to proactively sign the next wave of audio talent.

Food delivery

Food delivery

A leading food delivery platform asked for a dataset that fuses hyper-local event schedules (concerts, sports), severe weather alerts, and traffic data to proactively manage courier supply and launch targeted promotions in anticipated high-demand zones.

Ticketing

Ticketing

A major event ticketing platform asked for a dataset that monitors pricing and inventory velocity on secondary resale markets. This intelligence is used to power their dynamic pricing engine for primary ticket sales, maximizing revenue while combating scalpers.

Security

Enterprise-grade security and compliance

We operate within a strict security and legal framework and are ISO/IEC 27001:2022 certified.

Data Security ManagementData Security Management ISO/IEC 27001:2022

Certifications

ISO/IEC 27001:2022 certified (DEKRA).

GDPR compliance

Our process is GDPR-compliant and targets only publicly available information. We provide a ready-to-sign Data Processing Agreement (DPA) on request.

Data locality

You choose where your data is stored and processed, and we set it in your contract.

Data encryption

Encryption in transit (TLS 1.3) and at rest (AES-256).

Retention policy

We keep your data for a period you agree with us.

Competitor visibility that accelerated growth
Rating 5 out of 5

Competitor visibility that accelerated growth

Our tailored scraping and data enrichment services allowed this Central and Eastern European q-commerce company to access critical competitor and market information. This facilitated informed decision-making and enabled them to refine their strategies, ultimately leading to accelerated growth and an enhanced competitive edge.

Q-commerce

CEE Leader

Dynamic pricing built on competitor data
Rating 5 out of 5

Dynamic pricing built on competitor data

We provided this Central and Eastern European online grocery company with extensive scraping services, which allowed them to gather essential pricing and product data from competitors. This information helped them create a dynamic pricing strategy, resulting in increased sales and a stronger market presence.

Online Grocery

CEE Leader

Event and pricing data that grew market share
Rating 5 out of 5

Event and pricing data that grew market share

By leveraging our scraping services, this European ticket online sales company gained access to critical event and pricing data. This enabled them to refine their offerings, provide a smoother user experience, and ultimately grow their market share in the competitive ticketing industry.

Online Ticketing

European Leader

Restaurant data behind a better platform
Rating 5 out of 5

Restaurant data behind a better platform

By utilizing our scraping services, this major European food delivery company gained access to valuable restaurant and menu data. This enabled them to optimize their platform and improve the user experience, resulting in increased customer satisfaction and revenue growth.

Food delivery

European leader

FAQ

Frequently asked questions

What leaders want to know about building a strategic data advantage with custom-engineered datasets.

Discuss your custom dataset with us

Schedule a no-obligation consultation with our data strategists. We'll explore with you how a custom dataset can solve your most pressing challenge.

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